MLOps Fundamentals - Learn MLOps Concepts with Azure demo (Udemy.com)

Good. It would be better if the exact project pipeline introduced in the Azure demo series is presented with a graphical illustration as a whole picture before the code repository walkthrough explanation.

Difficult but once documented and practised using actual tools, I think I may become competent

Foi mais enriquecedor do que eu estava esperando, Inteligência Artificial é o futuro, então é importante buscar conhecimento sobre.

fue una buena lección, interesante y me ayuda a entender más como utilizar la IA

Very nice notes. please share slide also or some format in pdf. Thanis

Sí fue una buena elección, porque no sabía nada de los temas que se han tocado hasta el momento

Very good came to know what MLOps is all about, and the differences between DevOps vs MLOps , and the Maturity levels of MLOps though majority nearly 90% of the projects fail but this course gave the broad spectrum of all the things needed to understan MLOps lifecycle. Right from Analysis --> Requirements Gathering ---> Manual Experimentation steps (Data Preparation, Model Training, Model Evaluation, Model Validation) and to train the models which is all ML and then the Model servicing which is the Operations part. Having them in Model Registry, and having the walk through of the Experimentation/Development which happens in the staging/production environment, and how to have the Triggers to understand the "Continuous Learning" and there by improvising. Came to know the complete Lifecycle of MLOps after going through this course Very Nice Vijay

The course faithfully reflects its title, as it provides a deep understanding of the fundamentals of MLOps and explains in detail how an appropriate flow should be in the Machine Learning lifecycle.

Difficult to follow. For a Data Scientist from statistical background and a beginner in MLOps, there was too much information given away at once without giving much background. Got an overview nonetheless.

More explanation on how to run the pipeline in Azure step-by-step would have been helpful. I was unable to run anything on Azure besides importing repository and data.